PyCorrFit-generic data evaluation for fluorescence correlation spectroscopy

70Citations
Citations of this article
82Readers
Mendeley users who have this article in their library.

Abstract

Summary: We present a graphical user interface (PyCorrFit) for the fitting of theoretical model functions to experimental data obtained by fluorescence correlation spectroscopy (FCS). The program supports many data file formats and features a set of tools specialized in FCS data evaluation. Availability and implementation: The Python source code is freely available for download from the PyCorrFit web page at http://pycorrfit. craban.de. We offer binaries for Ubuntu Linux, Mac OS X and Microsoft Windows. © The Author 2014. Published by Oxford University Press.

Cite

CITATION STYLE

APA

Müller, P., Schwille, P., & Weidemann, T. (2014). PyCorrFit-generic data evaluation for fluorescence correlation spectroscopy. Bioinformatics, 30(17), 2532–2533. https://doi.org/10.1093/bioinformatics/btu328

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free